Placing the largest similar copy of a convex polygon among polygonal obstacles

L. Paul Chew, Klara Kedem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Given a convex polygon I and an environment consisting of polygonal obstacles, we find the largest similar copy of 1 that does not intersect any of the obstacles. Allowing translation, rotation, and change-of-size, our method combines a new notion of Delaunay triangulation for points and edges with the well-known functions based on Davenport-Schinzel sequences producing an almost quadratic algorithm for the problem. Namely, if I is a convex k-gon and if Q has n corners and edges then we can find the placement of the largest similar copy of t in the environment Q in time O(k4 n λ4 (kn) log n), where λ4 is one of the almost-linear functions related to Davenport-Schinzel sequences. If the environment consists only of points then we can find the placement of the largest similar copy of P in time 0 (k2n λ3 (kn) log n).

Original languageEnglish
Title of host publicationProceedings of the 5th Annual Symposium on Computational Geometry, SCG 1989
PublisherAssociation for Computing Machinery
Pages167-174
Number of pages8
ISBN (Electronic)0897913183
DOIs
StatePublished - 5 Jun 1989
Externally publishedYes
Event5th Annual Symposium on Computational Geometry, SCG 1989 - Saarbruchen, Germany
Duration: 5 Jun 19897 Jun 1989

Publication series

NameProceedings of the Annual Symposium on Computational Geometry
VolumePart F130124

Conference

Conference5th Annual Symposium on Computational Geometry, SCG 1989
Country/TerritoryGermany
CitySaarbruchen
Period5/06/897/06/89

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Geometry and Topology
  • Computational Mathematics

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